Index of Dissimilarity: A Measure of Relative Ageing of Human Populations

 

 

Ashraf Khan Kayani,  

HEC Professor of Sociology

Department of Sociology

University of the Punjab, Lahore, Pakistan

 

Zill-i-Huma

PhD Scholar

Department of Sociology

University of the Punjab, Lahore, Pakistan

 

Ahmad Raza

Research Fellow

Center for Organization and Development Studies

University of Management and Technology 

Lahore, Pakistan


 

 

Abstract:

 

Index of dissimilarity is mostly used as a demographic measure of ‘evenness’ of population distributions. In the present paper, an attempt is made to see if the index can be used as a measure of relative ageing of human populations. Relative ageing is operationally defined as a change in the agedness of a closed population resulting from different population growth rates or the differences in agedness of different age distributions resulting from growth rates held constant over a long period of time.

 

For the present purpose we used nine stable age distributions resulting from varying growth rates (r = 0.0 through 4.0 with equal interval of 0.5). Using stable age distribution with r = 2.0
(mid point) as standard, the index of dissimilarity is computed. It is observed that size of the index does show the differences in ageing of the distributions. However, the size alone does not show the directionality of the ageing, that is, whether a population is younger or older. On the other hand, the size alongwith the percentage point differences between the two distributions is a very useful measure to show the magnitude and directionality of the agedness of human populations.

Key words: Index of dissimilarity, relative ageing, human population, agedness


 

 

 

 

 

INDEX OF DISSIMILARITY: A MEASURE OF RELATIVE

  AGEING OF HUMAN POPULATIONS1

 

 

 

 

 

Introduction

The present paper attempts to show that index of dissimilarity can be a useful measure to compare the “agedness” of the age distributions of human populations in relative terms. Expressed differently, we show the relationship between the size of the index and agedness of the age distributions. We also propose that the index alongwith the percent point difference in the distributions shows the magnitude and directionality of the agedness of human populations.

 

Based on the proportionate distributions and percentage point differences between them, various indices are used to measure unevenness, concentration or segregation among two or more groups (Duncan, 1957; Jakubs, 1981; Massay, 1981; White, 1986) The most commonly used index derived from proportionate distributions is called index of dissimilarity ( ? ).

 

The index of dissimilarity has been used by a number of demographers and social scientists (Bogue, 1969; Keyfitz, 1968, Mukherjee, 1973, and Sakoda, 1981) for different purposes. For example, Keyfitz (1968, p. 47) uses the index of dissimilarity to show how different an initial distribution of a population is from the stable distribution. Mukherjee (1973) suggests that the size of  ?  can be used as a criterion to determine whether a population is stable or not.  Sakado (1981) generalized the  ? so as to apply it to individual groups as well as to provide a single index for multiple groups.

 

 

Methods and Materials

 

The index of dissimilarity is calculated by taking two percentage distributions, assuming one as a standard distribution and subtracting the other distribution from the standard distribution or vice versa to get a distribution of percentage point differences. The sum of the categories of alike signs is called index of dissimilarity. One can also take the total of all percentage point differences irrespective of the signs and divide the total by 2 to get the index of dissimilarity. Arithmetically:

                                               

 

 

 


1Revised version of an invited paper presented at 3rd National Conference on Statistical, 

 Sciences, Islamic Countries Society of Statistical Sciences, May 28-29, 2007, Lahore, Pakistan

 

 n

?

X=1

 

                                    ?             =             Ax    _   Bx

                                                                                                                       

                                                                    2

 

Where A and B are two proportionate distributions and X is age category.

 

To achieve our objective, we have selected stable age distributions with life expectancy (e?) of 65 years and varying population growth rates for females. These stable age distributions are taken from Stable Populations Age Distributions prepared by United Nations (1990) on South Asian Pattern.

 

We do recognize that the stable populations are more of an abstract nature than the real ones. However, the actual age distributions for a country are generally distorted mainly due to emigration and or immigration. It is for this reason that we selected the stable age distributions which are closed to migration. Another reason for such a selection is that annual natural growth rates (r) vary from a minimum of 0.0 % to a maximum of 4.0 %.

 

Analysis

 

The selected female stable age distributions are given in table 1 with growth rates given at the top of each of the age distributions. Since growth rates decline monotonically (from 4.0 to 0.0) the nine distributions are monotonically older in the same order – an axiom of stable population theory. 

 

 

 

Table 1.  Proportionate Stable Age Distributions for Female by Annual Growth Rates, UN South Asian Pattern

Females

 

E (0) = 65 Years

                                          Percent of population in indicated age group

 

Growth Rate (%):   0.0     0.5   1.0        1.5        2.0        2.5       3.0            3.5          4.0

 

Age group                        

                    

0-1

1-4

5-9

10-14

15-19

 

20-24

25-29

30-34

35-39

40-44

 

45-49

50-54

55-59

60-64

65-69

 

70-74

75-79

80-84

85+

1.46

5.57

6.86

6.82

6.80

 

6.76

6.72

6.68

6.62

6.54

 

6.43

6.26

5.98

5.54

4.90

 

4.01

2.93

1.81

1.31

1.74

6.59

7.93

7.69

7.48

 

7.26

7.04

6.82

6.59

6.35

 

6.09

5.78

5.39

4.87

4.20

 

3.35

2.39

1.44

1.00

2.06

7.70

9.06

8.57

8.12

 

7.69

7.27

6.87

6.48

6.09

 

5.69

5.27

4.79

4.23

3.55

 

2.77

1.92

1.13

0.75

2.41

8.88

10.21

9.42

8.71

 

8.04

7.42

6.84

6.29

5.76

 

5.26

4.75

4.21

3.62

2.97

 

2.25

1.53

0.88

0.56

2.78

10.13

11.38

10.25

9.24

 

8.32

7.48

6.73

6.03

5.39

 

4.80

4.22

3.65

3.06

2.45

 

1.82

1.20

0.67

0.41

3.17

11.42

12.55

11.02

9.69

 

8.51

7.46

6.54

5.72

4.99

 

4.33

3.72

3.14

2.57

2.00

 

1.45

0.93

0.51

0.30

3.59

12.74

13.69

11.72

10.05

 

8.61

7.37

6.30

5.38

4.57

 

3.87

3.24

2.67

2.13

1.62

 

1.14

0.72

0.38

0.22

4.02

14.09

14.80

12.36

10.34

 

8.64

7.21

6.01

5.00

4.15

 

3.42

2.80

2.24

1.75

1.29

 

0.89

0.55

0.28

0.15

4.46

15.45

15.87

12.82

10.54

 

8.59

6.99

5.69

4.62

3.73

 

3.00

2.39

1.87

1.42

1.03

 

0.69

0.41

0.21

0.11

Total                  100.0  100.0  100.0    100.0     100.0      100.0     100.0    100.0      100.0

 

Age distribution resulting from r=2.0 (a mid-point of rs’) is treated as the standard one. From the standard population distribution, proportions in each age group of other distributions are subtracted from the same age group in the standard population; thus getting a distribution of percentage point differences for every age group in all the non-standard distributions. From these differences, index of dissimilarity is computed for different growth rates. The differences by age groups and the   resulting ? for each of the age distributions are given in table 2.

 

 

 

Table 2. Index of Dissimilarity and Percentage Point Differences from Standard Age Distribution for other Stable Distributions, resulting from different Growth Rates

 

                                      

 

Growth Rate (%):  0.0       0.5          1.0         1.5        2.0*        2.5         3.0          3.5            4.0        

 

               Percentage point difference of population in indicated age group

 Age group                                                         

 

0-1

1-4

5-9

10-14

15-19

 

20-24

25-29

30-34

35-39

40-44

 

45-49

50-54

55-59

60-64

65-69

 

70-74

75+

 

Index of Dissimilarity (?)

 

-1.32

-4.56

-4.52

-3.43

-2.44

 

-1.56

-0.76

-0.05

+0.59

+1.15

 

+1.63

+2.04

+2.33

+2.48

+2.45

 

+2.19

+3.77

 

 

18.64

-1.04

-3.54

-3.45

-2.56

-1.76

 

-1.06

-0.44

+0.09

+0.56

+0.96

 

+1.29

+1.56

+1.74

+1.81

+1.75

 

+1.53

+2.55

 

 

13.85

-0.72

-2.43

-2.32

-1.68

-1.12

 

-0.63

-0.21

+0.14

+0.45

+0.7

 

+0.89

+1.05

+1.14

+1.17

+1.1

 

+0.95

+1.52

 

 

9.11

-0.37

-1.25

-1.17

-0.83

-0.53

 

-0.28

-0.06

+0.11

+0.26

+0.37

 

+0.46

+0.53

+0.56

+0.56

+0.52

 

+0.43

+0.69

 

 

4.49

 0

 0

 0

 0

 0

 

 0

 0

 0

 0

 0

 

 0

 0

 0

 0

 0

 

 0

 0

 

 

0

+0.39

+1.29

+1.17

+0.77

+0.45

 

+0.19

-0.02

-0.19

-0.31

-0.4

 

-0.47

-0.5

-0.51

-0.49

-0.45

 

-0.37

-0.54

 

 

4.25

+0.81

+2.61

+2.31

+1.47

+0.81

 

+0.29

-0.11

-0.43

-0.65

-0.82

 

-0.93

-0.98

-0.98

-0.93

-0.83

 

-0.68

-0.96

 

 

8.3

+1.24

+3.96

+3.42

+2.11

+1.1

 

+0.32

-0.27

-0.72

-1.03

-1.24

 

-1.38

-1.42

-1.41

-1.31

-1.16

 

-0.93

-1.3

 

 

12.16

+1.68

+5.32

+4.49

+2.67

+1.3

 

+0.27

-0.49

-1.04

-1.41

-1.66

 

-1.8

-1.83

-1.78

-1.64

-1.42

 

-1.13

-1.55

 

 

15.74

 

*Standard Age Distribution

 

 

 

Examination of table 2 suggests that the indexes of dissimilarity for the eight non-standard distributions show a peculiar pattern. As the growth rate increases or decreases from the standard population by the same proportion, the index sizes are almost similar; for example, the ? for growth rates 2.5% and 1.5%.

 

This is further clarified in Figure 1, where growth rates and the respective indexes of dissimilarity from the standard age distribution are shown in a scattergram using a linear regression model.

 

 Figure 1:  Scattergram of Index of Dissimilarity and Population Growth Rate (%)

 

 

 

Discussion

 

The analysis suggests that the ? alone can only show the difference between the two distributions in age but does not give the direction whether the population distribution is older or younger, when compared to the standard one. However, it does indicate that the agedness of a population is changed.

 

To overcome the problem of directionality in ageing, assistance from distribution of percentage point differences by age groups should be of importance. The understanding of losses or gains in the proportions in the age groups leads us to argue that the index of dissimilarity (?) for two different growth levels may be the same but their distributions of gains and losses may well be entirely different (table 2). In our eight distributions of percentage point differences (of which ? is an outcome), it is evident that very high and very low growth rates have the larger values of ? and that the value of ? decreases monotonically from the highest and the lowest growth rates respectively as the value of r drifts towards the r of the standard one. This is due to the reason of treating the age distribution resulting from mid-level growth rates (r=2.0). From the growth rate r= 0.0 to r=1.5, ? increases monotonically. Similarly, it increases for distributions resulting from r=2.5 through r=4.0. For almost identical indexes of dissimilarity, the distributions of gains and losses by age groups are entirely different. For example, if we deduct the distribution with zero growth rate from the standard distribution (r = 2.0) all age groups above age 35 years gain the proportions (older populations). On the contrary, for r = 2.5 age groups above age 25 years lose the proportions (younger population).

 

This shows that the ? alone does not render full information and that the complete percentage point difference distribution from which ? is derived from is necessary to illuminate further the differences between the two distributions.

 

The stable age distributions in our example are the eventual effects of the constant growth rates. What the index of dissimilarity gives us, in fact, is the difference between the effects of the growth rates in the long-term. A large ? shows that the age of a population is entirely different from the initial or standard population; a small value of ? signifies little change in the age, and a medium size ? shows a moderate change in age of a population. In other words, the size of ? in any two age distributions will depict the differences in the ageing of the two populations. To see whether one population is younger or older than the other, one has to look at the percentage point differences in the age groups between the two distributions.


 

 

 

 

Source: United Nations, (1990). Stable Population Age Distributions. Department of        International Economic and Social Affairs, New York. ST/ESA/SER.R/98. p. 242

 

 


 

 

 

 

 

 

                                                                                                                                       

References

 

Bogue, Donald J. (1969), Principles of Demography. New York: John Willey and Sons.

 

Ducan, Otis D. (1957), “Measurement of Population Distribution”. Population Studies: 11 (27)

 

Jakubs, John. (1979) “A Consistent Conceptualization Definition of the Index of Dissimilarity”. Geographical Analysis 11: 315-321

 

Keyfitz, Nathan. (1968)  Introduction to Mathematics of Population. Don Mills, Ontario: Addison and Wesley Publishing Co.

 

Massey, Douglas S. (1981) “Social Class and Ethnic Segregation. A Reconsideration of Methods and Conclusions”. American Sociological Review 46: 641-650

 

Mukherjee, (1973) Reconstruction of Age Composition for States and Territories of India, 1881-196. A Monograph. East-West Population Centre, Honolulu, Hawaii.

 

Sakoda, James M. (1981) “A Geographical Index of Dissimilarity”. Demography 18: 245-250

 

United Nations, (1990) Stable Population Age Distributions, Department of International Economic and Social Affairs, New York.

 

White, Michael J. (1986) “Segregation and Diversity Measures in Population Distribution”. Population Indexes 52(2): 198-221


 Sincronía Spring 2009